DocumentCode
1913771
Title
Fingerprint recognition using wavelet transform and probabilistic neural network
Author
Lee, Seok Won ; Nam, Boo Hee
Author_Institution
Dept. of Control. & Instrum. Eng., Kangwon Nat. Univ., Chunchon, South Korea
Volume
5
fYear
1999
fDate
1999
Firstpage
3276
Abstract
In the recognition of fingerprint, preprocessing such as smoothing, binarization and thinning is needed. Then fingerprint minutiae feature is extracted. Some fingerprint identification algorithm (such as using FFT etc.) may require so much computation as to be impractical. Wavelet based algorithm may be the key to making a low cost fingerprint identification system that would operate on a small computer. We present a fast and effective method to identify fingerprint
Keywords
fingerprint identification; neural nets; probability; wavelet transforms; FFT; binarization; fingerprint minutiae feature; fingerprint recognition; probabilistic neural network; smoothing; thinning; wavelet transform; Authentication; Costs; Discrete wavelet transforms; Feature extraction; Filtering; Fingerprint recognition; Image matching; Neural networks; Smoothing methods; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.836183
Filename
836183
Link To Document